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Found 16 papers, 0 papers with code
Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling
Shape reconstruction from imaging volumes is a recurring need in medical image analysis.
DeepDR: Deep Structure-Aware RGB-D Inpainting for Diminished Reality
Diminished reality (DR) refers to the removal of real objects from the environment by virtually replacing them with their background.
The HoloLens in Medicine: A systematic Review and Taxonomy
The HoloLens (Microsoft Corp., Redmond, WA), a head-worn, optically see-through augmented reality display, is the main player in the recent boost in medical augmented reality research.
Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations
Conclusion: This suggests that pre-existing annotations can be an inexpensive resource in clinics to ease ill-posed and repetitive tasks like cross-section extraction for surveillance of aortic dissections.
InpaintFusion: Incremental RGB-D Inpainting for 3D Scenes
We use the RGB-D information in a cost function for both the color and the geometric appearance to derive a global optimization for simultaneous inpainting of color and depth.
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM
We present DetectFusion, an RGB-D SLAM system that runs in real-time and can robustly handle semantically known and unknown objects that can move dynamically in the scene.
Clinical evaluation of semi-automatic opensource algorithmic software segmentation of the mandibular bone: Practical feasibility and assessment of a new course of action
Therefore, the aim of this trial was to assess the practical feasibility of an easy available, functional stable and licensed-free segmentation approach to be used in the clinical practice.
In-depth Assessment of an Interactive Graph-based Approach for the Segmentation for Pancreatic Metastasis in Ultrasound Acquisitions of the Liver with two Specialists in Internal Medicine
Ultimately, the algorithm enables a fast and accurate segmentation of liver metastasis in clinical US images, which can support the manual outlining in daily practice.
Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound
In this work, we present the application of an algorithm for the segmentation of liver metastases due to pancreatic cancer using a set of 105 different images of metastases.
Computer-aided position planning of miniplates to treat facial bone defects
In this contribution, a software system for computer-aided position planning of miniplates to treat facial bone defects is proposed.
Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images
In this contribution, we present the results of an interactive segmentation approach for liver metastases in US acquisitions.
US-Cut: Interactive Algorithm for rapid Detection and Segmentation of Liver Tumors in Ultrasound Acquisitions
We present an interactive segmentation approach for liver tumors in US acquisitions.
Interactive Volumetry Of Liver Ablation Zones
The visual feedback and interactivity make the proposed tool well suitable for the clinical workflow.
Discriminative Feature-to-Point Matching in Image-Based Localization
The prevalent approach to image-based localization is matching interest points detected in the query image to a sparse 3D point cloud representing the known world.
Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation
The state-of-the-art in image segmentation builds hierarchical segmentation structures based on analyzing local feature cues in spectral settings.
A Minimal Solution to the Generalized Pose-and-Scale Problem
We propose a novel solution to the generalized camera pose problem which includes the internal scale of the generalized camera as an unknown parameter.
